James Abello (16 results)
External Memory Algorithms: Dimacs Workshop External Memory and Visualization, May 20-22, 1998 (DIMACS SERIES IN DISCRETE MATHEMATICS AND THEORETICAL COMPUTER SCIENCE)
DIMACS Workshop External Memory And Visualization (1998 : Rutgers University); Abello, James M.; Vitter, Jeffrey Scott
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External Memory Algorithms
DIMACS Workshop External Memory And Visualization (1998 : Rutgers University); Abello, James M.; Vitter, Jeffrey Scott
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Hardcover. Condition: Brand New. 306 pages. 10.50x7.25x0.75 inches. In Stock.
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Condition: New. Series: DIMACS: Series in Discrete Mathematics and Theoretical Computer Science. Num Pages: 260 pages. BIC Classification: MBNS; PS; UYA. Category: (P) Professional & Vocational. . . 2008. Paperback. . . . .
- Softcover
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Condition: New. Series: DIMACS: Series in Discrete Mathematics and Theoretical Computer Science. Num Pages: 260 pages. BIC Classification: MBNS; PS; UYA. Category: (P) Professional & Vocational. . . 2008. Paperback. . . . . Books ship from the US and Ireland.
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Hardcover. Condition: Very Good. Clean, solid hardcover. Owner name blacked out on top page edge and owner plate inside front cover, else no other marks inside. Light rub to spine ends and corners. 2002 printing. International and priority sales will require extra shipping due to size and weight.
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- Softcover
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- Hardcover
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Condition: New. pp. xii + 1223.
Handbook of Massive Data Sets (Massive Computing, 4)
Abello, James [Editor]; Pardalos, Panos M. [Editor]; Resende, Mauricio G.C. [Editor];
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title.
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The proliferation of massive data sets brings with it a series of special computational challenges. This 'data avalanche' arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many… of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts. High profile applications indude astrophysics, bio-technology, demographics, finance, geographi cal information systems, government, medicine, telecommunications, the environment and the internet. John R. Tucker of the Board on Mathe matical Seiences has stated: 'My interest in this problern (Massive Data Sets) isthat I see it as the rnost irnportant cross-cutting problern for the rnathernatical sciences in practical problern solving for the next decade, because it is so pervasive. ' The Handbook of Massive Data Sets is comprised of articles writ ten by experts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval both in the internet and in the traditional sense, web crawlers, massive graphs, string processing, data compression, dustering methods, wavelets, op timization, external memory algorithms and data structures, the US national duster project, high performance computing, data warehouses, data cubes, semi-structured data, data squashing, data quality, billing in the large, fraud detection, and data processing in astrophysics, air pollution, biomolecular data, earth observation and the environment.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The proliferation of massive data sets brings with it a series of special computational challenges. This data avalanche arises in a wide range of scientific and commercial applications. With advances in computer and i…nformation technologies, many of these.
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The proliferation of massive data sets brings with it a series of special computational challenges. This 'data avalanche' arises in a wide range of scientific and commercial applications. With advances in computer and information techno…logies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts. High profile applications indude astrophysics, bio-technology, demographics, finance, geographi cal information systems, government, medicine, telecommunications, the environment and the internet. John R. Tucker of the Board on Mathe matical Seiences has stated: 'My interest in this problern (Massive Data Sets) isthat I see it as the rnost irnportant cross-cutting problern for the rnathernatical sciences in practical problern solving for the next decade, because it is so pervasive. ' The Handbook of Massive Data Sets is comprised of articles writ ten by experts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval both in the internet and in the traditional sense, web crawlers, massive graphs, string processing, data compression, dustering methods, wavelets, op timization, external memory algorithms and data structures, the US national duster project, high performance computing, data warehouses, data cubes, semi-structured data, data squashing, data quality, billing in the large, fraud detection, and data processing in astrophysics, air pollution, biomolecular data, earth observation and the environment.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 1252 pp. Englisch.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The proliferation of massive data sets brings with it a series of special computational challenges. This 'data avalanche' arises in a wide range of scientific and commercial applications. With advances in computer and information te…chnologies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts. High profile applications indude astrophysics, bio-technology, demographics, finance, geographi cal information systems, government, medicine, telecommunications, the environment and the internet. John R. Tucker of the Board on Mathe matical Seiences has stated: 'My interest in this problern (Massive Data Sets) isthat I see it as the rnost irnportant cross-cutting problern for the rnathernatical sciences in practical problern solving for the next decade, because it is so pervasive. ' The Handbook of Massive Data Sets is comprised of articles writ ten by experts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval both in the internet and in the traditional sense, web crawlers, massive graphs, string processing, data compression, dustering methods, wavelets, op timization, external memory algorithms and data structures, the US national duster project, high performance computing, data warehouses, data cubes, semi-structured data, data squashing, data quality, billing in the large, fraud detection, and data processing in astrophysics, air pollution, biomolecular data, earth observation and the environment. 1252 pp. Englisch.
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Seller: moluna, Greven, Germanymoluna
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The proliferation of massive data sets brings with it a series of special computational challenges. This data avalanche arises in a wide range of scientific and commercial applications. With a…dvances in computer and information technologies, many of these.
